Fetch.ai Launches AI Agent for EVM Blockchain Interaction

Fetch.ai has introduced a new AI agent named uagent-evm-mcp, which allows users to interact with over thirty EVM-compatible blockchains using simple English prompts. This tool leverages natural language AI to simplify access to complex blockchain data, enabling users to request balances, token details, transaction records, or contract events through straightforward queries. This innovation eliminates the need for users to manually navigate specific Web3 interfaces or blockchain protocols, thereby broadening access for those without deep blockchain programming experience.

The AI agent acts as a bridge between AI models and multiple blockchain networks, providing a unified interface across various EVM networks such as Ethereum, Polygon, Arbitrum, Avalanche, and others. Developers can query balances, metadata, and transactions without writing low-level blockchain code. Smart contract events and NFT ownership checks become accessible through simple user prompts, transforming English questions like “What is the ETH balance?” into clear queries with structured responses.

Fetch.ai’s AI agent utilizes the Model Context Protocol as its communication layer with blockchain data. This protocol ensures compatibility across diverse networks without the need for manual RPC or SDK setups. Developers can easily retrieve block details, transaction receipts, and contract information. The agent can monitor smart contract events or estimate gas fees effortlessly, reducing the development time required for blockchain-related application builds. Users benefit from simplified query flows, while developers avoid complex configuration tasks.

The ASI:One platform provides the underlying framework for running intelligent blockchain agents. This model uses a multi-step reasoning design to make logical decisions autonomously. Fetch.ai’s ASI:One integrates with external APIs and tools for enhanced functionality. Agents built on this platform can act on instructions given in plain language, fetching data, monitoring events, or triggering contract functions based on user requests. This approach turns complex blockchain operations into user-friendly and everyday actions, benefiting developers with quick setup and a consistent interface across multiple blockchain systems.

The new AI Agent demonstrates how conversational systems can interact with blockchain networks. Built in TypeScript, it serves users who lack programming expertise effectively. Custom agents, analytics tools, and Web3 assistants can leverage this streamlined interface. Supported networks span Ethereum, Optimism, Arbitrum, and other chains in the EVM ecosystem. Users can perform balance checks, retrieve token metadata, or filter contract events easily. This design highlights how Fetch.ai’s AI agent can simplify standard blockchain workflows, providing clear guidance for operations without backend complexities to end users.

Ask Aime: What is the impact of Fetch.ai's new AI agent on blockchain accessibility for U.S. retail investors?

This sector of AI integration brings an intuitive interface to decentralized systems. Users can query data with everyday language, avoiding complex code or commands. This method could lower barriers for non-technical participants exploring blockchain solutions. Developers in multi-chain settings may find building cross-network applications more efficient. The approach simplifies the monitoring of events and data across different blockchain environments. Overall, this tool demonstrates how AI can make decentralized systems more approachable, potentially supporting broader adoption by making blockchain tasks feel familiar.

The uagent-evm-mcp is now available on Agentverse for immediate integration into blockchain projects. It works with any Model Context Protocol-compatible model, including Fetch.ai’s ASI:One modules. Users may fork and adapt the agent to suit various conversational and analytics needs. Minimal setup requirements allow quick deployment across EVM networks for diverse use cases. Developers can create assistants or analytics tools that operate in a blockchain context. This agent may influence future AI-driven blockchain applications by simplifying strong queries. Its flexibility supports use in smart contract analytics, automated monitoring, or multi-chain functions.